The variation of some vegetation and quality indices in grapes under the influence of foliar fertilization on grapevine

  • Florin SALA Banat University of Agricultural Sciences and Veterinary Medicine "Regele Mihai I al României" from TimiÅŸoara
  • Cosmin BLIDARIU Banat University of Agricultural Sciences and Veterinary Medicine "Regele Mihai I al României" from TimiÅŸoara
  • Alin DOBREI Banat University of Agricultural Sciences and Veterinary Medicine "Regele Mihai I al României" from TimiÅŸoara
  • Marius Valentin BOLDEA Banat University of Agricultural Sciences and Veterinary Medicine "Regele Mihai I al României" from TimiÅŸoara
Keywords: grapevine, foliar fertilization, nutrients, leaf area, chlorophyll, dry matter, prediction model

Abstract

The changes that appear in the climatic conditions through lack of uniformity in the distribution of rainfall, associated with high temperatures, especially in the period of maximum consumption of grapevine, cause poor root feeding with water and nutrients. Our research was aimed at observing the efficiency of foliar fertilization on grapevine, through vegetation indices (leaf area and chlorophyll from the leaf opposite the cluster), correlated with the dry matter content in grapes, and devising a model for predicting grape quality based on the above-mentioned parameters. The biologic material was represented by variety Burgund, and nutrition was directed through foliar fertilizers that ensured different ratios of macroelements and microelements. Leaf area values ranged from 117.01±7.66 cm2 in the control variant to 198.87±12.16 cm2 in the variant with complex fertilization with macro and microelements. Chlorophyll content values were between 22.14±1.19 SPAD units in the control variant and 33.3±0.84 SPAD units in the variant with complex fertilization, while dry matter content varied from 18.56±0.45 % in the control variant and 22.76±0.40% in the variant with complex fertilization. Based on the correlations identified between the parameters of the nutritional status and the dry matter content in grapes, it was possible to develop a prediction model for the quality of grape yields, with a high degree of certainty; R2 = 0.908 p<0.01 based on leaf area (La) and R2 = 0.978 p<0.01 based on chlorophyll content (Chl) in the leaf opposite the cluster.

Author Biographies

Cosmin BLIDARIU, Banat University of Agricultural Sciences and Veterinary Medicine "Regele Mihai I al României" from Timişoara
Soil Science and Plant Nutrition, PhD student
Alin DOBREI, Banat University of Agricultural Sciences and Veterinary Medicine "Regele Mihai I al României" from Timişoara
Department of Horticulture, Prof. PhD
Marius Valentin BOLDEA, Banat University of Agricultural Sciences and Veterinary Medicine "Regele Mihai I al României" from Timişoara
Mathematics and Statistics, Lecturer, PhD
Published
2013-11-21